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Start-up success of freelancers: new microeconometric evidence from the German Socio-Economic Panel
Merz, Joachim; Paic, Peter - 2006
GSOEP and present microeconometric rare events logit, logit and probit results. …
Persistent link: https://www.econbiz.de/10010267669
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Start-up Success of Freelancers: New Microeconometric Evidence from the German Socio-Economic Panel
Merz, Joachim; Paic, Peter - Institute for the Study of Labor (IZA) - 2006
GSOEP and present microeconometric rare events logit, logit and probit results. …
Persistent link: https://www.econbiz.de/10005703750
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Allocation of Human Capital and Innovation at the Frontier: Firm-Level Evidence on Germany and the Netherlands
Bartelsman, Eric Jan; Dobbelaere, Sabien; Peters, Bettina - 2013
This paper examines how productivity effects of human capital and innovation vary at different points of the conditional productivity distribution. Our analysis draws upon two large unbalanced panels of 6,634 enterprises in Germany and 14,586 enterprises in the Netherlands over the period...
Persistent link: https://www.econbiz.de/10010319600
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Allocation of Human Capital and Innovation at the Frontier: Firm-Level Evidence on Germany and the Netherlands
Bartelsman, Eric; Dobbelaere, Sabien; Peters, Bettina - Institute for the Study of Labor (IZA) - 2013
This paper examines how productivity effects of human capital and innovation vary at different points of the conditional productivity distribution. Our analysis draws upon two large unbalanced panels of 6,634 enterprises in Germany and 14,586 enterprises in the Netherlands over the period...
Persistent link: https://www.econbiz.de/10010959824
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Identification and Decompositions in Probit and Logit Models
Choe, Chung; Jung, Seeun; Oaxaca, Ronald L. - 2017
Probit and logit models typically require a normalization on the error variance for model identification. This paper …
Persistent link: https://www.econbiz.de/10011653258
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An extension of the Blinder-Oaxaca decomposition technique to logit and probit models
Fairlie, Robert W. - 2006
are from a logit or probit model. I describe a relatively simple method of performing a decomposition that uses estimates … from a logit or probit model. Expanding on the original application of the technique in Fairlie (1999), I provide a more …
Persistent link: https://www.econbiz.de/10010267328
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The treatment effect, the cross difference, and the interaction term in nonlinear difference-in-differences models
Puhani, Patrick A. - 2008
treatment effect in nonlinear difference-in-differences models such as probit, logit or tobit, because the cross difference is …
Persistent link: https://www.econbiz.de/10010269263
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Betit: A Family That Nests Probit and Logit
Vijverberg, Wim P. M. - 2000
, called betit, nests both logit and probit and allows for various skewed and peaked disturbance densities. Because the shape … paper considers asymptotic biases of the logit and probit models under conditions where betit should have been used. It also …
Persistent link: https://www.econbiz.de/10010276953
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Estimating Fixed Effects: Perfect Prediction and Bias in Binary Response Panel Models, with an Application to the Hospital Readmissions Reduction Program
Kunz, Johannes S.; Staub, Kevin E.; Winkelmann, Rainer - 2017
The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed effects can be severely biased if N is large and T is small, a consequence of the incidental parameters problem. This has led to the development of conditional maximum likelihood...
Persistent link: https://www.econbiz.de/10011787032
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Pregibit: A family of discrete choice models
Vijverberg, Chu-ping C.; Vijverberg, Wim P. - 2012
generates discrete choice outcomes. Pregibit nests logit, approximately nests probit, loglog, cloglog and gosset models, and … yields a linear probability model that is solidly founded on the discrete choice framework that underlies logit and probit. …
Persistent link: https://www.econbiz.de/10010282457